Senior System Architect

Job Description

The Senior System Architect for an enterprise level Gen AI solution will be responsible for defining and evolving the end-to-end architecture of the enterprise AI platform supporting CFO, Treasury, Risk, and Finance use cases. The role drives platform strategy, application architecture, AI/LLM integration, agentic workflows, data architecture, security, scalability, and production engineering while ensuring alignment with enterprise standards and regulatory requirements. The architect will serve as the technical authority for the AI ecosystem that this application covers, including Knowledge Bases, RAG solutions, Agent Frameworks, MCP integrations, document intelligence, structured data intelligence, model orchestration, and platform modernization initiatives.

Key Responsibilities:

• Own the target-state architecture and technical roadmap for the AI platform.

• Design scalable, resilient, and secure enterprise AI solutions.

• Define reference architectures, standards, patterns, and best practices.

• Lead architecture reviews, technology selection, and solution governance.

• Drive modernization initiatives across AI, cloud-native, and data platforms.

Required Skills & Experience

• 10 years of software architecture and enterprise platform engineering experience.

• 5 years designing AI/ML, GenAI, or advanced analytics platforms.

• Experience delivering AI platforms within Financial Services, Treasury, Risk, or CFO organizations.

• Deep understanding of:

○ Generative AI and LLM architectures

○ Retrieval Augmented Generation (RAG)

○ Agentic AI frameworks (LangGraph, LangChain, MCP)

○ Vector databases and embeddings

○ Distributed systems and microservices

○ Cloud-native architecture and OpenShift/Kubernetes

• Strong experience with:

○ Python ○ REST APIs

○ Oracle and enterprise data platforms

○ Redis and caching technologies

○ CI/CD and DevSecOps practices

Nice to Have Skills & Experience

• Experience with:

○ MCP-based tool integration architectures

○ Enterprise Knowledge Base solutions

○ Document Intelligence and OCR platforms

○ AI governance and model risk management frameworks

○ OpenAI, Azure AI, or enterprise LLM ecosystems

• Prior experience leading large-scale platform modernization initiatives.